Overview
- Presents the novel logo detection methods using machine learning paradigms
- Demonstrates the merits of the presented approaches over the reported approaches using the real-world applications
- Includes the state-of-the-art machine learning paradigms
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 255)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
This book presents the current trends in deep learning-based object detection framework with a focus on logo detection tasks. It introduces a variety of approaches, including attention mechanisms and domain adaptation for logo detection, and describes recent advancement in object detection frameworks using deep learning. We offer solutions to the major problems such as the lack of training data and the domain-shift issues.
This book provides numerous ways that deep learners can use for logo recognition, including:
- Deep learning-based end-to-end trainable architecture for logo detection
- Weakly supervised logo recognition approach using attention mechanisms
- Anchor-free logo detection framework combining attention mechanisms to precisely locate logos in the real-world images
- Unsupervised logo detection that takes into account domain-shift issues from synthetic to real-world images
- Approach for logo detection modeling domain adaption task in the context of weakly supervised learning to overcome the lack of object-level annotation problem.
The merit of our logo recognition technique is demonstrated using experiments, performance evaluation, and feature distribution analysis utilizing different deep learning frameworks.
The book is directed to professors, researchers, practitioners in the field of engineering, computer science, and related fields as well as anyone interested in using deep learning techniques and applications in logo and various object detection tasks.
Keywords
Table of contents (6 chapters)
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: Recent Advances in Logo Detection Using Machine Learning Paradigms
Book Subtitle: Theory and Practice
Authors: Yen-Wei Chen, Xiang Ruan, Rahul Kumar Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-031-59811-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-59810-4Published: 31 May 2024
Softcover ISBN: 978-3-031-59813-5Published: 01 June 2025
eBook ISBN: 978-3-031-59811-1Published: 30 May 2024
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XII, 119
Number of Illustrations: 1 b/w illustrations, 63 illustrations in colour
Topics: Data Engineering, Computational Intelligence, Artificial Intelligence